Live opening · Posted 2 days ago
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Requirements:
5+ years of experience with search infrastructure (e. g., OpenSearch, Elasticsearch, Solr, or vector/AI search).
Hands-on experience building or maintaining retrieval pipelines and evaluating retrieval quality, including offline metrics and A/B guardrails.
Strong understanding of information retrieval fundamentals: lexical retrieval, semantic and vector search, hybrid retrieval, and relevance tuning at scale.
Familiarity with SEO engineering, content quality systems, or personalisation and recommendations at scale.
Experience applying NLP or embedding-based models to query understanding, intent classification, or query expansion.
Familiarity with A/B testing frameworks and analytics instrumentation (e. g. Amplitude, RudderStack) in a product experimentation context
Experience working with microservices and/or monolith architectures.
The team owns a mix of standalone services and a monolith, and is actively migrating components between them, so comfort operating across both patterns is valuable.
Experience using AI tooling in your day-to-day workflow, and curiosity about applying it more deeply.
Experience
5-9 yrs
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